An AI-powered curriculum instructional hypergraph (knowledge graph) and intelligent hint system that triages student knowledge, curriculum materials and assessments to reduce attainment gaps
An AI-powered curriculum instructional hypergraph (knowledge graph) and intelligent hint system that triages student knowledge, curriculum materials and assessments to reduce attainment gaps
批准号:
10035378
负责人:
金额:
$44.59万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
新冠肺炎大流行导致学校停课,从而扰乱了学习,增加了对个性化学习平台的需求,以提高公共教育系统的透明度、有效性和问责制。学生学历差距正在加深不平等,使国民经济在未来的GDP增长中损失数百亿美元。仅英国一国就估计,提高一个群体(2030名学生)的学习成绩可以为GDP增加600-900亿GB(DFE 2022)。适应性学习和评估可以帮助优化投入高剂量辅导和学校干预计划的大量公共和私人资金。Study Hall(SH)正在开发一个基于人工智能的尖端适应性学习和评估平台,可以加快学生在高风险(终结性)和低风险(形成性)评估方面的进步。SH的知识图谱(KG)将个别学生的知识与课程和标准化评估相对照,以确定谁学习了,谁掌握了,谁辍学了,这样教师就可以干预。创新的、基于人工智能的智能提示系统(IHS)提供了脚手架式的苏格拉底提示。SH的社交特点促使学生在校内外共同学习。Study Hall拥有一支经验丰富的团队,包括Paul Butcher(首席技术官)、Paul Schrater教授(行为神经科学和深度学习科学家)、Michel Milchiadis(首席工程师)、Gary Shiels(数据科学家)、Aisling Henihan(教学设计主管)、Nathan Llewell yn(产品负责人)和Sofia Fenichell(首席产品官)。
英文摘要
The COVID-19 pandemic, closed down schools, thereby disrupting learning and increasing the need for personalised learning platforms that improve transparency, efficacy and accountability of public education systems. Student attainment gaps are deepening inequality, costing national economies tens of billions in future GDP growth. The UK alone estimates that improving attainment for a single cohort (2030 students) can add £60-90bn to GDP (DfE 2022). Adaptive learning and assessment can help optimise the large sums of public and private funds invested in high-dosage tutoring and school intervention programs.Study Hall (SH) is developing a cutting-edge AI-based adaptive learning and assessment platform that can accelerate student progress on both high-stakes (summative) and low-stakes (formative) assessments. SH's Knowledge Graph (KG) maps individual student knowledge against curriculum and standardised assessments to identify who has learned it, who has mastered it, and who has dropped off so teachers can intervene. The innovative, AI-based, Intelligent Hint System (IHS) provides scaffolded Socratic hints. SH's social features motivate learners to study together inside and outside of school. Study Hall boosts engagement, and increases teaching and learning efficiency, saving taxpayers, teachers, parents and students time and money.Study Hall has an experienced team including Paul Butcher (CTO), Professor Paul Schrater (behavioural neuroscience and deep learning scientist), Micheal Milchiadis (Lead Engineer), Gary Shiels (Data Scientist), Aisling Henihan (Instructional Design Lead), Nathan Llewellyn (Product Owner) and Sofia Fenichell (Chief Product Officer).
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